Senior Machine Learning Engineer, Foundation Models

AI Breaking Wire; Mountain View (CA); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Stock grants

Health/dental/vision benefits

Paid time off & parental leave

Professional development

Job summary

Google DeepMind is seeking a Senior Machine Learning Engineer to design, build, and scale foundation-model systems in Mountain View. You will help prototype, optimize, and productionize large-scale ML pipelines, collaborating with researchers and engineers across teams.

The role emphasizes ML engineering excellence, distributed training, and staying at the forefront of AI research. Competitive compensation includes bonus and stock grants, with comprehensive benefits.

Qualifications

• Master's or PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience.
• 5+ years of experience in machine learning engineering for large-scale systems.
• Strong programming in Python; experience with TensorFlow or PyTorch.
• Experience with distributed training, model optimization, and MLOps.
• Deep understanding of foundation models including LLMs and diffusion models.
• Excellent problem-solving and debugging skills.

Responsibilities

• Design, implement, and optimize large-scale ML systems and infrastructure for foundation models.
• Develop and refine training pipelines, evaluation frameworks, and deployment strategies.
• Collaborate with researchers to bring novel ML algorithms into production.
• Troubleshoot and resolve complex ML system challenges.
• Mentor junior engineers and promote ML engineering best practices.
• Stay current with research trends in LLMs and generative AI.

Skills

ML engineering

Foundation models

LLMs

Python programming

Distributed systems

MLOps

Education

Master's or PhD in CS/ML

Tools

TensorFlow

PyTorch

Job description

# Senior Machine Learning Engineer, Foundation ModelsGoogle DeepMind## Job DescriptionGoogle DeepMind is at the forefront of developing and deploying cutting-edge AI technologies. We are looking for a Senior Machine Learning Engineer to contribute to the development of our foundational models. You will be instrumental in designing, building, and scaling large-scale ML systems, from initial research and prototyping to production deployment. This role involves deep collaboration with researchers and engineers to translate state-of-the-art AI advancements into robust and efficient systems.\*\*Responsibilities:\*\*- Design, implement, and optimize large-scale machine learning systems and infrastructure for foundation models.- Develop and refine training pipelines, evaluation frameworks, and deployment strategies.- Collaborate with research scientists to bring novel ML algorithms and architectures into production.- Troubleshoot and resolve complex technical challenges in ML systems.- Mentor junior engineers and contribute to best practices in ML engineering.- Stay abreast of the latest research and industry trends in large language models and generative AI.\*\*Requirements:\*\*- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.- 5+ years of experience in machine learning engineering, with a focus on large-scale systems.- Strong programming skills in Python and proficiency with ML frameworks like TensorFlow or PyTorch.- Experience with distributed training, model optimization, and MLOps.- Deep understanding of foundation models, including LLMs and diffusion models.- Excellent problem-solving and debugging skills.\*\*Benefits:\*\*- Highly competitive salary, bonus, and stock grants.- World-class health, dental, and vision benefits.- Generous paid time off and parental leave.- Opportunities for professional development and impact on global AI research.## Skills & Tagsmachine learningfoundation modelsllmdeep learningpythontensorflowpytorchdistributed systemsmlops## Job DetailsFull-timeMountain View, California$200k – $350k USDPosted July 23, 2026Expires September 21, 2026